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mne 0.8

This package is designed for sensor- and source-space analysis of M-EEG
data, including frequency-domain and time-frequency analyses and
non-parametric statistics. This package is presently evolving quickly and
thanks to the adopted open development environment user contributions can
be easily incorporated.

Get more information

This page only contains bare-bones instructions for installing mne-python.

To run the tests you will also need nose >= 0.10.
and the MNE sample dataset (will be downloaded automatically
when you run an example … but be patient)

To use NVIDIA CUDA for FFT FIR filtering, you will also need to install
the NVIDIA CUDA SDK, pycuda, and scikits.cuda. The difficulty of this varies
by platform; consider reading the following site for help getting pycuda
to work (typically the most difficult to configure):

Contribute to mne-python

Mailing list

Running the test suite

To run the test suite, you need nosetests and the coverage modules.
Run the test suite using:

nosetests

from the root of the project.

Making a release and uploading it to PyPI

This command is only run by project manager, to make a release, and
upload in to PyPI:

python setup.py sdist bdist_egg register upload

Licensing

MNE-Python is BSD-licenced (3 clause):

This software is OSI Certified Open Source Software.
OSI Certified is a certification mark of the Open Source Initiative.

Copyright (c) 2011, authors of MNE-Python
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.

Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

Neither the names of MNE-Python authors nor the names of any
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.

This software is provided by the copyright holders and contributors
“as is” and any express or implied warranties, including, but not
limited to, the implied warranties of merchantability and fitness for
a particular purpose are disclaimed. In no event shall the copyright
owner or contributors be liable for any direct, indirect, incidental,
special, exemplary, or consequential damages (including, but not
limited to, procurement of substitute goods or services; loss of use,
data, or profits; or business interruption) however caused and on any
theory of liability, whether in contract, strict liability, or tort
(including negligence or otherwise) arising in any way out of the use
of this software, even if advised of the possibility of such
damage.